Services
AI governance, AI risk, and production workflow rescue for regulated organizations.
We don't sell strategy decks. We write the AI policy your board can read, build the audit trail your regulator can survive, and ship production AI in environments where reliability, privacy, and auditability matter. Every engagement is led by a former regulated-SaaS CEO who founded the industry standard platform for nurse aide credentialing across 35 states — and still writes production code.
Regulated AI Workflow Audit
Find the 2–3 AI workflow changes that actually save time without creating governance mess.
Most regulated organizations are stuck between AI pilots that demo well and production workflows that actually need to work on Monday morning. We assess your current operations, identify the highest-payback workflow opportunities, map the governance risks, and deliver a 30-day action plan your team can execute. Led by someone who ran a regulated SaaS platform for 12 years — not someone who read about it.
Deliverables
- •Operational workflow mapping against AI readiness
- •Top 2–3 workflow opportunities ranked by payback and risk
- •Governance gap analysis — what breaks if you deploy without guardrails
- •Executive readout with 30-day action plan
- •Optional: hands-on implementation support for priority workflow
Who this is for
Health systems, post-acute operators, PE-backed healthcare tech companies, and any regulated organization trying to get from AI pilot theater to one governed workflow that saves real money.
Typical timeline
2-day assessment + readout
Workflow Rescue Diagnostic
Find the real bottlenecks. Get a plan that works.
We map the actual workflow — not the one in the slide deck, the one your people run every day. We identify the bottlenecks, exception paths, manual workarounds, and integration failures that are quietly costing you money and reliability.
Deliverables
- •Workflow mapping of real operational processes (not theoretical)
- •Bottleneck and exception path identification with root cause analysis
- •Integration risk assessment across systems and partners
- •Prioritized rescue plan with concrete steps your team can execute
- •Executive briefing on findings and recommended direction
Who this is for
Organizations whose operations depend on systems that are brittle, manual, or stuck between legacy and modern. Healthcare, logistics, manufacturing, multi-site operations, PE portfolio companies post-acquisition.
Typical timeline
2–3 weeks
Controlled-Environment AI Implementation
Deploy AI where control, privacy, and auditability matter.
AI adoption fails when it's treated as a technology project. It succeeds when it's treated as an operational transformation — one that starts with understanding how people actually work today, then carefully introduces tools that make that work better, safer, and more equitable. We evaluate, design, and implement AI inside environments where the system has to explain itself to a board, survive an audit, and protect sensitive data.
Deliverables
- •AI readiness assessment — infrastructure, data quality, workforce skills, organizational appetite
- •Use case identification and prioritization scored on feasibility, risk, cost, and mission alignment
- •Governance framework — policies, tool vetting process, data handling guidelines, accountability structures
- •Role-specific training and change management
- •Implementation support for priority use cases with hands-on guidance through early adoption
- •Measurement framework with defined KPIs per initiative
Who this is for
Healthcare foundations, health systems, PE-backed operations, regulated industries, and any organization where AI must work reliably without creating new risks for the people it serves.
Typical timeline
8–12 weeks depending on scope
AI Governance & Risk
A written AI policy your team can name, an audit trail your board can read, and a tool review process that does not slow shipping.
Most regulated organizations adopted AI tools faster than they adopted policies for them. Cursor, Claude Code, Copilot, Cody, and Codex are in production engineering stacks; ChatGPT and Claude are in production knowledge workflows; agent platforms are in production decision loops. Boards are now asking who approved the tools, what data they see, who signed the policy, and what gets logged when a model writes something that ships. We deliver the answers — written policy, training, tool review process, audit trail design, and the playbook for the next tool that lands. Built for organizations where the auditor, the regulator, and the customer all need a clean answer.
Deliverables
- •AI tool inventory and risk classification across engineering, operations, and knowledge work
- •Written AI usage policy tailored to your industry (fintech, healthcare, insurtech, legal, govcon)
- •Tool approval workflow — who reviews, who signs, what gets logged, where the artifact lives
- •Engineer + employee training curriculum (live or async) with completion tracking design
- •Audit trail and reporting design that survives a board review or external audit
- •Optional: 1–2 day in-room workshop walking engineering, security, and legal through the framework end-to-end
Who this is for
VPE / CTO / Head of Engineering at 50–500 employee regulated companies whose boards have started asking AI governance questions. Fintech, healthcare, insurtech, legal tech, govcon, regulated SaaS. Also: PE-backed portfolio companies post-acquisition where AI governance gaps surface in diligence.
Typical timeline
2–4 weeks for the written policy + tool review process. 1–2 days additional for the in-room workshop.
Advisory & Technical Leadership
Senior hands-on architecture from someone who ships.
Not a slide deck. Not a strategy document that collects dust. Hands-on technical leadership from someone who has built and operated 7+ enterprise platforms across healthcare, retail, hospitality, and transportation — systems that are still running a decade or two later.
Deliverables
- •Architecture review and technical strategy aligned to business objectives
- •Technology stack evaluation and build-vs-buy analysis
- •AI integration strategy for existing production systems
- •Technical due diligence for acquisitions (PE-focused)
- •Team assessment and engineering leadership guidance
- •Ongoing advisory retainer with direct access
Who this is for
PE firms evaluating or integrating portfolio companies. Health systems navigating AI adoption. Startups that need a CTO-level perspective without a full-time hire. Any team that needs someone who has been in the room when systems break at 2 AM.
Typical timeline
Ongoing retainer or project-based
AI Agent Audit
Know if your AI agents are audit-ready before your auditors arrive.
The AI agent era is here — OpenClaw has 250,000+ GitHub stars and Jensen Huang says every company needs an agent strategy. But Gartner called the most popular agent platform "insecure by default," and 92 advisories in three months prove the point. We built the tooling to assess whether your AI agent deployment is enterprise-ready, and we deliver the remediation plan to make it so.
Deliverables
- •Automated audit scan of AI agent installations (configuration, permissions, credential exposure)
- •Configuration assessment against known misconfiguration patterns
- •Marketplace/skill supply chain risk evaluation
- •Remediation report with prioritized fixes
- •Governance recommendations for ongoing agent oversight
Who this is for
Any organization deploying AI agents (OpenClaw, custom agents, or multi-agent systems) in production environments. Especially relevant for regulated industries — fintech, healthcare, insurtech, govtech — where a misconfiguration has real consequences.
Typical timeline
1–2 weeks
Industries we work in
We build production systems across regulated and operationally complex industries. Not because we chase verticals — because the pattern is the same everywhere: broken workflows, fragile integrations, and AI that needs to work where failure has consequences.
Healthcare
1M+ certifications across 35 states. Industry standard platform for nurse aide credentialing. Clients operated on it daily for over a decade. Bootstrapped to a successful exit.
Transportation & Logistics
Rail logistics platform integrating Class I railroad APIs with real-time tracking across US carrier networks.
Retail & Manufacturing
Dramatic productivity improvement and 5,000+ monthly transactions for flooring installation management across senior living communities.
Hospitality & Multi-Site Operations
Operations platform for Fortune 500 campground and resort network, running reliably for 20+ years.
Financial Services
Enterprise reconciliation and compliance platform serving 300+ Fortune 1000 companies at Trintech.
Regulated AI Adoption
AI governance frameworks, tool review processes, and audit trail design for engineering and operations teams at 50–500 employee regulated companies. Industries served include fintech, healthcare, insurtech, legal tech, and govcon.
Ready to talk?
No pitch deck. No discovery call script. Just a conversation about what's broken and whether we can help fix it.